Data Visualization

Data visualization uses abstract, non-representational pictures to depict numerical data sets. At the very least, it is meant to be more than a mere substitute for statistical tables; at best, it can be a medium for exploring, analyzing, and displaying quantitative information.

IC-CAP Statistics offers four standard methods for data visualization, each of which is best suited for analyzing a particular aspect of the data—convergence, variance, correlation, and outlier identification. As a group, the four methods provide a solution for a broad range of data visualization needs.